Improved mortality analysis in early-phase dose-ranging clinical trials for emergency medical diseases using Bayesian time-to-event models with active comparators.

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作者： Xiaosong,Shi ^[1] ; Jo A,Wick ^[1] ; Renee' L,Martin ^[2] ; Jonathan,Beall ^[2] ; Robert,Silbergleit ^[3] ; Gaylan L,Rockswold ^[4] ; William G,Barsan ^[3] ; Frederick K,Korley ^[3] ; Sarah,Rockswold ^[4] ; Byron J,Gajewski ^[1]

作者单位： Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA. ^[1] Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA. ^[2] Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA. ^[3] Department of Neurosurgery, University of Minnesota, Hennepin County Medical Center, Minneapolis, Minnesota, USA. ^[4]

关键词 Bayesian design EMAX active control hierarchical models survival analysis

主题词贝叶斯定理(Bayes Theorem);人类(Humans);模型, 统计学(Models, Statistical);临床试验, Ⅱ期(主题)(Clinical Trials, Phase II as Topic);计算机模拟(Computer Simulation);随机对照试验(主题)(Randomized Controlled Trials as Topic);时间因素(Time Factors)

DOI 10.1002/sim.10141

PMID 38885949

发布时间 2024-07-19

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